Moving target tracking is a basic task in the processing of high speed photography. Despite its widely applications,
Correlation tracking method can not adapt to the rotation and zoom of target and results in accumulation of tracking
error. The Least Squares Image Matching(LSIM) method which is used in photogrammetry is introduced to moving
target tracking, and a Weighted Least Squares Image Matching(WLSIM) based tracking algorithm is proposed. The
WLSIM based algorithm sets weights according to the target's shape for the Least-Squares Image Matching Algorithm,
as a result matching error produced by the background in the tracking window can be avoided. Experimental results are
shown to demonstrate the robustness, efficiency and accuracy of the proposed algorithm.